As a machine learning engineer at Keyward, I develop AI solutions for engineering software that reduce the energy consumption and improve the accuracy of design evaluation for manufacturers. I work with a team of experts in fluid mechanics, computer science, and machine learning to create models that predict aerodynamics.My passion for engineering simulations and computing led me to pursue a master's degree in computer aided mechanical engineering from RWTH Aachen University, where I completed a thesis on unsteady flow prediction using PINNs. I also obtained multiple certifications in MATLAB, OpenFOAM, and Ansys, and gained hands-on experience as a work student and part-time employee at Keyward. I am proficient in Python, MATLAB, Ansys, and AWS, and I enjoy learning new tools and techniques to enhance my skills and knowledge.